overload infrastructure

Data centers are large, important investments that, when properly designed, built, and operated, are an integral part of the business strategy driving the success of any enterprise. Yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems with little thought given to the structure and space in which it is to be housed, serviced, and maintained. This invariably leads to facility infrastructure problems such as thermal “hot spots”, lack of UPS (uninterruptible power supply) rack power, lack of redundancy, system overloading and other issues that threaten or prevent the realization of the return on the investment in the IT systems.

Data centers are large, important investments that when properly designed, built and operated, are an integral part of the business strategy driving the success of any enterprise, yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems, with little thought given to the structure and space in which it is to be housed, serviced and maintained. This invariably leads to facility infrastructure problems, such as thermal hot spots, lack of UPS, rack power, lack of redundancy, system overloading and other issues that threaten or prevent the realization of the return on the investment in the IT systems.

Data centers are large, important investments that, when properly designed, built, and operated, are an integral part of the business strategy driving the success of any enterprise. Yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems with little thought given to the structure and space in which it is to be housed, serviced, and maintained.

Today, data volumes are growing exponentially and organizations of every size are struggling to manage what has become a very expensive and complex problem. It causes real issues such as:
• Overprovisioning their backup infrastructure to anticipate rapid future growth.
• Legacy systems can’t cope and backups take too long or are incomplete.
• Companies miss recovery point objectives and recovery time targets.
• Backups overload infrastructure and network bandwidth.
• Not embracing new technologies, such as cloud backup, because there is too much data to transfer over wide area networks.

Today, data volumes are growing exponentially and organizations of every size are struggling to manage what has become a very expensive and complex problem. It causes real issues such as:
• Overprovisioning their backup infrastructure to anticipate rapid future growth.
• Legacy systems can’t cope and backups take too long or are incomplete.
• Companies miss recovery point objectives and recovery time targets.
• Backups overload infrastructure and network bandwidth.
• Not embracing new technologies, such as cloud backup, because there is too much data to transfer over wide area networks.